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(Senior) Data Engineer - Data Modelling (M / F / D)
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- If your passion lies in not only crafting cloud-based data solutions but, more importantly, in deeply understanding our clients' businesses to create solutions that truly propel business performance, then this role is tailor-made for you!
- Collaborate closely with business and other tech experts to understand client requirements and deliver cloud-based Data Warehouse solutions, harnessing the power of Azure services like Azure Data Lake Storage, Azure SQL Database, Azure Synapse Analytics and Azure Databricks.
- Develop, optimize and maintain ETL processes using cutting-edge tools like Databricks, Spark, and Kafka.
- Implement and maintain CI/CD pipelines to automate testing and deployment processes, ensuring the reliability and scalability of data engineering solutions.
- Practical & recent experience in data pipeline development with Big Data frameworks (Databricks, Spark, Kafka), data modelling approaches (Star schema, Snowflake, Data Vault), and Azure Services (Azure Data Factory, Azure Databricks, and Azure Synapse Analytics).
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